The INRIX National Traffic Scorecard is the most comprehensive country-wide perspective and city-by-city analysis of one of the nation’s most frustrating and intractable issues: traffic... More > congestion. How bad is traffic overall? Which cities have the most traffic congestion? Where are the worst bottlenecks across the country? This new report answers these questions and more.
The INRIX Scorecard takes a micro look at traffic problems all across the country – zooming in on the total hours spent in traffic, worst day of the week for commuting and average speeds for the top 100 cities in the U.S., along with hundreds of other details including the identification of the nation’s worst bottlenecks Americans drive through every day.< Less

Traffic is the number one problem in Jakarta. Indonesia is the fourth most populous country in the world so it is understandable that its capital has more than a half of share of its citizens since... More > it has been developing and a center of business and activity in the country. With the traffic in Jakarta, you can be stuck for two hours playing poker with your fellow commuters with no concern of inching a bit. Despite the congestion, there are still a lot of incidents that happen on the roads, especially to motorbikes who thinks they are too small to be struck by other vehicles.< Less

Long-range dependent (LRD), self-similar, chaotic behaviour has been found to be present in internet traffic by many researchers. It is especially important to understand the link between... More > self-similarity and long-range dependence of network traffic and performance of the networks because such characterisation can be potentially applied for control purposes such as traffic shaping, load balancing, etc. Long-Range Dependence (LRD) is of great significance in traffic engineering problems such as traffic measurement, queuing behaviour and buffer sizing, admission control and congestion control. In this context, the ‘Hurst exponent’, H, is used as a measure of the degree of long-range dependence. A variety of techniques exist for estimating the Hurst exponent; these delivering a variable efficacy of estimation.< Less

Long-range dependent (LRD), self-similar, chaotic behaviour has been found to be present in internet traffic by many researchers. It is especially important to understand the link between... More > self-similarity and long-range dependence of network traffic and performance of the networks because such characterisation can be potentially applied for control purposes such as traffic shaping, load balancing, etc. Long-Range Dependence (LRD) is of great significance in traffic engineering problems such as traffic measurement, queuing behaviour and buffer sizing, admission control and congestion control. In this context, the ‘Hurst exponent’, H, is used as a measure of the degree of long-range dependence. A variety of techniques exist for estimating the Hurst exponent; these delivering a variable efficacy of estimation.< Less

Travel time estimation is an important feature of Advanced Traveler Information Systems (ATIS). This project examines the impact of congestion shock waves on the accuracy of travel time estimates.... More > Bottlenecks are identified and shock wave speeds are analyzed. Practical and theoretical development of the impact of congestion shock waves is presented, and metrics for evaluating the accuracy of travel time estimates are discussed. This project builds upon two previous projects. In the first, ground truth travel time data was collected for Portland, OR freeways. Accuracy of travel time estimates was analyzed using this ground truth data and data from the regional transportation data archive. The second project investigated factors related to estimation errors, and assessed the impact of additional detection and the accuracy of Dynamic Message Signs (DMS) messages. This project analyzes the impact of congestion waves on estimation accuracy and studying additional accuracy metrics.< Less

Travel time estimation is an important feature of Advanced Traveler Information Systems (ATIS). This project examines the impact of congestion shock waves on the accuracy of travel time estimates.... More > Bottlenecks are identified and shock wave speeds are analyzed. Practical and theoretical development of the impact of congestion shock waves is presented, and metrics for evaluating the accuracy of travel time estimates are discussed. This project builds upon two previous projects. In the first, ground truth travel time data was collected for Portland, OR freeways. Accuracy of travel time estimates was analyzed using this ground truth data and data from the regional transportation data archive. The second project investigated factors related to estimation errors, and assessed the impact of additional detection and the accuracy of Dynamic Message Signs (DMS) messages. This project analyzes the impact of congestion waves on estimation accuracy and studying additional accuracy metrics.< Less

Travel time estimation is an important feature of Advanced Traveler Information Systems (ATIS). This project examines the impact of congestion shock waves on the accuracy of travel time estimates.... More > Bottlenecks are identified and shock wave speeds are analyzed. Practical and theoretical development of the impact of congestion shock waves is presented, and metrics for evaluating the accuracy of travel time estimates are discussed. This project builds upon two previous projects. In the first, ground truth travel time data was collected for Portland, OR freeways. Accuracy of travel time estimates was analyzed using this ground truth data and data from the regional transportation data archive. The second project investigated factors related to estimation errors, and assessed the impact of additional detection and the accuracy of Dynamic Message Signs (DMS) messages. This project analyzes the impact of congestion waves on estimation accuracy and studying additional accuracy metrics.< Less

Travel time estimation is an important feature of Advanced Traveler Information Systems (ATIS). This project examines the impact of congestion shock waves on the accuracy of travel time estimates.... More > Bottlenecks are identified and shock wave speeds are analyzed. Practical and theoretical development of the impact of congestion shock waves is presented, and metrics for evaluating the accuracy of travel time estimates are discussed. This project builds upon two previous projects. In the first, ground truth travel time data was collected for Portland, OR freeways. Accuracy of travel time estimates was analyzed using this ground truth data and data from the regional transportation data archive. The second project investigated factors related to estimation errors, and assessed the impact of additional detection and the accuracy of Dynamic Message Signs (DMS) messages. This project analyzes the impact of congestion waves on estimation accuracy and studying additional accuracy metrics.< Less

Capacity, demand, and vehicle based emissions reduction strategies are compared for several pollutants employing aggregate US congestion and vehicle fleet condition data. We find that congestion... More > mitigation does not inevitably lead to reduced emissions; the net effect of mitigation depends on the balance of induced travel demand and increased vehicle efficiency that in turn depend on the pollutant, congestion level, and fleet composition. In the long run, capacity-based congestion improvements within certain speed intervals can reasonably be expected to increase emissions of CO2e, CO, and NOx through increased vehicle travel volume. Better opportunities for emissions reductions exist for HC and PM2.5 emissions, and on more heavily congested arterials. Advanced-efficiency vehicles with emissions rates that are less sensitive to congestion than conventional vehicles generate less emissions co-benefits from congestion mitigation.< Less

Capacity, demand, and vehicle based emissions reduction strategies are compared for several pollutants employing aggregate US congestion and vehicle fleet condition data. We find that congestion... More > mitigation does not inevitably lead to reduced emissions; the net effect of mitigation depends on the balance of induced travel demand and increased vehicle efficiency that in turn depend on the pollutant, congestion level, and fleet composition. In the long run, capacity-based congestion improvements within certain speed intervals can reasonably be expected to increase emissions of CO2e, CO, and NOx through increased vehicle travel volume. Better opportunities for emissions reductions exist for HC and PM2.5 emissions, and on more heavily congested arterials. Advanced-efficiency vehicles with emissions rates that are less sensitive to congestion than conventional vehicles generate less emissions co-benefits from congestion mitigation.< Less

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